Xiaomi 24129PN74C
Geekbench ML Score
1311
TensorFlow Lite CPU Inference Score
Geekbench ML 0.6.0 for Android AArch64
Result Information
| Upload Date | November 20 2024 12:51 PM |
| Views | 1 |
System Information
| System Information | |
|---|---|
| Operating System | Android 15 |
| Model | Xiaomi 24129PN74C |
| Model ID | Xiaomi 24129PN74C |
| Motherboard | sun |
| Governor | walt |
| CPU Information | |
|---|---|
| Name | Qualcomm ARMv8 |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 81 architecture 8 variant 3 part 1 revision 4 |
| Base Frequency | 3.53 GHz |
| Cluster 1 | 6 Cores @ 3.53 GHz |
| Cluster 2 | 2 Cores @ 4.32 GHz |
| Memory Information | |
|---|---|
| Size | 14.76 GB |
| Inference Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
759
142.0 IPS |
|
|
Image Classification (F16)
|
100% |
793
148.4 IPS |
|
|
Image Classification (I8)
|
97% |
843
157.7 IPS |
|
|
Image Segmentation (F32)
|
100% |
999
16.7 IPS |
|
|
Image Segmentation (F16)
|
100% |
1011
16.9 IPS |
|
|
Image Segmentation (I8)
|
98% |
885
14.8 IPS |
|
|
Pose Estimation (F32)
|
100% |
1558
1.89 IPS |
|
|
Pose Estimation (F16)
|
100% |
1563
1.89 IPS |
|
|
Pose Estimation (I8)
|
100% |
5711
6.92 IPS |
|
|
Object Detection (F32)
|
100% |
765
57.1 IPS |
|
|
Object Detection (F16)
|
100% |
766
57.2 IPS |
|
|
Object Detection (I8)
|
61% |
1189
88.8 IPS |
|
|
Face Detection (F32)
|
100% |
1893
22.5 IPS |
|
|
Face Detection (F16)
|
100% |
1891
22.5 IPS |
|
|
Face Detection (I8)
|
86% |
2084
24.8 IPS |
|
|
Depth Estimation (F32)
|
100% |
1669
12.9 IPS |
|
|
Depth Estimation (F16)
|
100% |
1670
13.0 IPS |
|
|
Depth Estimation (I8)
|
95% |
2530
19.6 IPS |
|
|
Style Transfer (F32)
|
100% |
2634
3.46 IPS |
|
|
Style Transfer (F16)
|
100% |
2639
3.47 IPS |
|
|
Style Transfer (I8)
|
98% |
5672
7.46 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
830
29.6 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
879
31.4 IPS |
|
|
Image Super-Resolution (I8)
|
98% |
2205
78.7 IPS |
|
|
Text Classification (F32)
|
100% |
666
957.0 IPS |
|
|
Text Classification (F16)
|
100% |
643
923.7 IPS |
|
|
Text Classification (I8)
|
92% |
452
649.7 IPS |
|
|
Machine Translation (F32)
|
100% |
1505
27.7 IPS |
|
|
Machine Translation (F16)
|
100% |
1469
27.0 IPS |
|
|
Machine Translation (I8)
|
64% |
543
10.00 IPS |
